Download Expt. 4 Rubric partner’s name at the top of your report)

Expt. 4 Rubric
Note: Always credit the work of others (i.e. write your lab
partner’s name at the top of your report)
Note: If you used Excel to do any of your calculations,
print out the spreadsheet and neatly cut and paste it into
your report. All data and calculations must have labels.
Introduction: Statement of the problem. Write a brief
summary of procedure. Include all major equations
used in your calculations. Be clear and brief!
(Minus 1 point for not doing this part)
Measurements and associated uncertainties or standard
deviations(and a brief discussion of their associated
uncertainties).
Calculations/Error Analysis: Kappa and its uncertainty.
V_calc and its uncertainty for each applied voltage.
Graph of Vcalc vs. Vexpected
(Graphs of course need descriptive titles; axis
labels with units; error bars; a legend or labeling
for multiple data series or fitting lines.)
Before plotting Vcalc vs. Vexpected, what kind of
relationship do you expect between Vcalc and
Vexpected. Call this your “expected distribution”. Be
explicit (i.e. Where should the curve intersect the
axes? What shape should the curve have? Etc...)
Plot Vcalc vs. Vexpected. Also plot vertical error
bars.
What kind of relationship do you see between V_calc
and V_expected?
Using the type of curve of your “expected
distribution,” do a least-squares fit by hand (show
your work) using the method described in the
experimental guidelines. (Do not just use Excel to
determine the best fit curve.) Then plot and label
your least-squares fit curve on your graph of V_calc
vs. V_expected.
Conclusion/Discussion:
Calculate χ2 (Chi-squared) and the reduced chisquared. Determine the probability of acquiring a
reduced chi-square larger than the value you
calculated. What does this tell you about the
agreement between your data and the type of curve you
fit to your data? Should you reject your leastsquares fit curve? If so, at what significance level
do you reject your least-squares fit curve?
If you had discrepant results, discuss the sources of
error and try to trace what is the most significant
contribution to the error in your results. Explain
why you believe this is the most significant source
of error.
Note: Even if you didn’t have to reject your leastsquares fit curve, consider whether your leastsquares fit curve is discrepant from the “expected
distribution” and, as always, state the major sources
of random/systematic error and how you did/could
reduce them.
NOTE: “Human error” conveys no useful information.